Local-first system capturing screen/audio with timestamped indexing, SQL/embedding storage, semantic search, LLM-powered history analysis, and event-triggered actions - enables building context-aware AI agents through a NextJS plugin ecosystem.
Run the underlying MCP server directly — without Agent-CoreX routing.
npx -y screenpipeAgent-CoreX intelligently routes which tools from mediar-ai/screenpipe your AI agent actually needs per request — reducing token usage and cost.
agent-corex.json
{
"mcpServers": {
"screenpipe": {
"command": "npx",
"args": [
"-y",
"screenpipe"
]
}
}
}Connect in 2 minutes. Only pay for the tools your agent actually uses.
A collection of reference implementations for the Model Context Protocol (MCP), showcasing its features and SDK usage.
A CLI inspector for the Model Context Protocol that allows running MCP servers and interacting with various tools and resources.
A project related to the Model Context Protocol, potentially involving data processing or context management.
Recommended: intelligent tool routing, lower costs
uvx agent-corex mcp add screenpipeAgent-CoreX selects only the tools your agent needs, cutting token usage by up to 60%.
Use mediar-ai/screenpipe directly without routing
npx -y screenpipeNew to Agent-CoreX? View setup guide →